How to integrate Api sports MCP with Pydantic AI

This guide walks you through connecting Api sports to Pydantic AI using the Composio tool router. By the end, you'll have a working Api sports agent that can show today's football fixtures for la liga, get head-to-head record for chelsea vs arsenal, list injured players in premier league this week through natural language commands. This guide will help you understand how to give your Pydantic AI agent real control over a Api sports account through Composio's Api sports MCP server. Before we dive in, let's take a quick look at the key ideas and tools involved.

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Api sports

Api Key

Api sports is a comprehensive sports data platform covering 2,000+ competitions with live scores and 15+ years of stats. Instantly access up-to-date sports information for analysis, apps, or chatbots.

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Introduction

This guide will help you understand how to give your Pydantic AI agent real control over a Api sports account through Composio's Api sports MCP server.

Before we dive in, let's take a quick look at the key ideas and tools involved.

Also integrate Api sports with

ChatGPT OpenAI Agents SDK Claude Agent SDK Claude Code Claude Cowork Codex OpenCode Cursor VS Code OpenClaw Hermes CLI Google ADK LangChain Vercel AI SDK Mastra AI LlamaIndex CrewAI

TL;DR

Here's what you'll learn:

How to set up your Composio API key and User ID
How to create a Composio Tool Router session for Api sports
How to attach an MCP Server to a Pydantic AI agent
How to stream responses and maintain chat history
How to build a simple REPL-style chat interface to test your Api sports workflows

What is Pydantic AI?

Pydantic AI is a Python framework for building AI agents with strong typing and validation. It leverages Pydantic's data validation capabilities to create robust, type-safe AI applications.

Key features include:

Type Safety: Built on Pydantic for automatic data validation
MCP Support: Native support for Model Context Protocol servers
Streaming: Built-in support for streaming responses
Async First: Designed for async/await patterns

What is the Api sports MCP server, and what's possible with it?

The Api sports MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Api sports account. It provides structured and secure access to rich sports data, so your agent can fetch fixtures, analyze team stats, retrieve player info, and explore historical match data on your behalf.

Live fixture and match retrieval: Instantly access upcoming and past football fixtures, filterable by league, team, date, or season for up-to-date match information.
Detailed match statistics and events: Have your agent pull granular match data, including goals, cards, substitutions, and in-depth statistics like possession, fouls, and passes for any fixture.
Team, coach, and player insights: Effortlessly fetch team rosters, coach histories, and individual player statistics or injury reports, making it easy to analyze team lineups and track player performance over time.
Head-to-head comparisons and historical data: Ask your agent to compare two teams’ direct matchups, review historical data, or examine league rounds, helping you make informed predictions or reports.
Dynamic country and league exploration: Let your agent discover available countries, leagues, and competitions, then drill down by code or search to tailor your sports data queries to specific needs.

What is the Composio tool router, and how does it fit here?

What is Composio SDK?

Composio's Composio SDK helps agents find the right tools for a task at runtime. You can plug in multiple toolkits (like Gmail, HubSpot, and GitHub), and the agent will identify the relevant app and action to complete multi-step workflows. This can reduce token usage and improve the reliability of tool calls. Read more here: Getting started with Composio SDK

The tool router generates a secure MCP URL that your agents can access to perform actions.

How the Composio SDK works

The Composio SDK follows a three-phase workflow:

Discovery: Searches for tools matching your task and returns relevant toolkits with their details.
Authentication: Checks for active connections. If missing, creates an auth config and returns a connection URL via Auth Link.
Execution: Executes the action using the authenticated connection.

Step-by-step Guide

Step by step09 STEPS

Prerequisites

Before starting, make sure you have:

Python 3.9 or higher
A Composio account with an active API key
Basic familiarity with Python and async programming

Getting API Keys for OpenAI and Composio

OpenAI API Key

Go to the OpenAI dashboard and create an API key. You'll need credits to use the models, or you can connect to another model provider.
Keep the API key safe.

Composio API Key

Log in to the Composio dashboard.
Navigate to your API settings and generate a new API key.
Store this key securely as you'll need it for authentication.

Install dependencies

bash

pip install composio pydantic-ai python-dotenv

Install the required libraries.

What's happening:

composio connects your agent to external SaaS tools like Api sports
pydantic-ai lets you create structured AI agents with tool support
python-dotenv loads your environment variables securely from a .env file

Set up environment variables

bash

COMPOSIO_API_KEY=your_composio_api_key_here
USER_ID=your_user_id_here
OPENAI_API_KEY=your_openai_api_key

Create a .env file in your project root.

What's happening:

COMPOSIO_API_KEY authenticates your agent to Composio's API
USER_ID associates your session with your account for secure tool access
OPENAI_API_KEY to access OpenAI LLMs

Import dependencies

python

import asyncio
import os
from dotenv import load_dotenv
from composio import Composio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerStreamableHTTP

load_dotenv()

What's happening:

We load environment variables and import required modules
Composio manages connections to Api sports
MCPServerStreamableHTTP connects to the Api sports MCP server endpoint
Agent from Pydantic AI lets you define and run the AI assistant

Create a Tool Router Session

python

async def main():
    api_key = os.getenv("COMPOSIO_API_KEY")
    user_id = os.getenv("USER_ID")
    if not api_key or not user_id:
        raise RuntimeError("Set COMPOSIO_API_KEY and USER_ID in your environment")

    # Create a Composio Tool Router session for Api sports
    composio = Composio(api_key=api_key)
    session = composio.create(
        user_id=user_id,
        toolkits=["api_sports"],
    )
    url = session.mcp.url
    if not url:
        raise ValueError("Composio session did not return an MCP URL")

What's happening:

We're creating a Tool Router session that gives your agent access to Api sports tools
The create method takes the user ID and specifies which toolkits should be available
The returned session.mcp.url is the MCP server URL that your agent will use

Initialize the Pydantic AI Agent

python

# Attach the MCP server to a Pydantic AI Agent
api_sports_mcp = MCPServerStreamableHTTP(url, headers={"x-api-key": COMPOSIO_API_KEY})
agent = Agent(
    "openai:gpt-5",
    toolsets=[api_sports_mcp],
    instructions=(
        "You are a Api sports assistant. Use Api sports tools to help users "
        "with their requests. Ask clarifying questions when needed."
    ),
)

What's happening:

The MCP client connects to the Api sports endpoint
The agent uses GPT-5 to interpret user commands and perform Api sports operations
The instructions field defines the agent's role and behavior

Build the chat interface

python

# Simple REPL with message history
history = []
print("Chat started! Type 'exit' or 'quit' to end.\n")
print("Try asking the agent to help you with Api sports.\n")

while True:
    user_input = input("You: ").strip()
    if user_input.lower() in {"exit", "quit", "bye"}:
        print("\nGoodbye!")
        break
    if not user_input:
        continue

    print("\nAgent is thinking...\n", flush=True)

    async with agent.run_stream(user_input, message_history=history) as stream_result:
        collected_text = ""
        async for chunk in stream_result.stream_output():
            text_piece = None
            if isinstance(chunk, str):
                text_piece = chunk
            elif hasattr(chunk, "delta") and isinstance(chunk.delta, str):
                text_piece = chunk.delta
            elif hasattr(chunk, "text"):
                text_piece = chunk.text
            if text_piece:
                collected_text += text_piece
        result = stream_result

    print(f"Agent: {collected_text}\n")
    history = result.all_messages()

What's happening:

The agent reads input from the terminal and streams its response
Api sports API calls happen automatically under the hood
The model keeps conversation history to maintain context across turns

Run the application

python

if __name__ == "__main__":
    asyncio.run(main())

What's happening:

The asyncio loop launches the agent and keeps it running until you exit

Complete Code

Here's the complete code to get you started with Api sports and Pydantic AI:

python

import asyncio
import os
from dotenv import load_dotenv
from composio import Composio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerStreamableHTTP

load_dotenv()

async def main():
    api_key = os.getenv("COMPOSIO_API_KEY")
    user_id = os.getenv("USER_ID")
    if not api_key or not user_id:
        raise RuntimeError("Set COMPOSIO_API_KEY and USER_ID in your environment")

    # Create a Composio Tool Router session for Api sports
    composio = Composio(api_key=api_key)
    session = composio.create(
        user_id=user_id,
        toolkits=["api_sports"],
    )
    url = session.mcp.url
    if not url:
        raise ValueError("Composio session did not return an MCP URL")

    # Attach the MCP server to a Pydantic AI Agent
    api_sports_mcp = MCPServerStreamableHTTP(url, headers={"x-api-key": COMPOSIO_API_KEY})
    agent = Agent(
        "openai:gpt-5",
        toolsets=[api_sports_mcp],
        instructions=(
            "You are a Api sports assistant. Use Api sports tools to help users "
            "with their requests. Ask clarifying questions when needed."
        ),
    )

    # Simple REPL with message history
    history = []
    print("Chat started! Type 'exit' or 'quit' to end.\n")
    print("Try asking the agent to help you with Api sports.\n")

    while True:
        user_input = input("You: ").strip()
        if user_input.lower() in {"exit", "quit", "bye"}:
            print("\nGoodbye!")
            break
        if not user_input:
            continue

        print("\nAgent is thinking...\n", flush=True)

        async with agent.run_stream(user_input, message_history=history) as stream_result:
            collected_text = ""
            async for chunk in stream_result.stream_output():
                text_piece = None
                if isinstance(chunk, str):
                    text_piece = chunk
                elif hasattr(chunk, "delta") and isinstance(chunk.delta, str):
                    text_piece = chunk.delta
                elif hasattr(chunk, "text"):
                    text_piece = chunk.text
                if text_piece:
                    collected_text += text_piece
            result = stream_result

        print(f"Agent: {collected_text}\n")
        history = result.all_messages()

if __name__ == "__main__":
    asyncio.run(main())

Conclusion

You've built a Pydantic AI agent that can interact with Api sports through Composio's Tool Router. With this setup, your agent can perform real Api sports actions through natural language. You can extend this further by:

Adding other toolkits like Gmail, HubSpot, or Salesforce
Building a web-based chat interface around this agent
Using multiple MCP endpoints to enable cross-app workflows (for example, Gmail + Api sports for workflow automation)

This architecture makes your AI agent "agent-native", able to securely use APIs in a unified, composable way without custom integrations.

TOOLS

Supported Tools

Every Api sports action and event your agent gets out of the box.

Get AFL Games

Tool to retrieve AFL games and matches.

Get AFL Game Player Statistics

Tool to retrieve player statistics from AFL (Australian Football League) game(s).

Get AFL Seasons

Tool to get the list of available seasons for AFL.

Get AFL Standings

Tool to retrieve AFL standings for a league.

Get Baseball Games Head-to-Head

Tool to get head-to-head baseball games between two teams.

Get Basketball Bets

Tool to get all available basketball bet types.

Get Basketball Bookmakers

Tool to get all available basketball bookmakers.

Get basketball statistics

Tool to get basketball statistics for a team in a given league and season.

Get Formula 1 Circuits

Tool to get the list of available Formula 1 circuits.

Get Coaches

Tool to fetch coaches and their career history.

Get Countries

Tool to fetch available countries for league queries.

Get Fighters Records

Tool to get fighter career statistics.

Get Fixtures

Tool to retrieve football fixtures/matches.

Get fixtures events

Tool to get events (goals, cards, substitutions, VAR, etc.

Get Head-to-Head Fixtures

Tool to get head-to-head fixtures between two teams.

Get Fixture Lineups

Tool to retrieve starting XI and substitutes for a fixture.

Get fixtures players

Tool to get player statistics from a fixture.

Get Fixtures Rounds

Tool to get the rounds for a league or cup.

Get fixture statistics

Tool to get statistics for a fixture.

Get Formula 1 Competitions

Tool to retrieve Formula 1 competitions (Grand Prix races).

Get Formula 1 Races

Tool to retrieve Formula 1 race information for a given season.

Get Formula 1 Starting Grid

Tool to retrieve the starting grid for a Formula 1 race.

Get games events

Tool to get events (goals, penalties, etc.

Get AFL Games Quarters

Tool to retrieve AFL game quarter scores.

Get game statistics by teams

Tool to get team statistics from a game by ID.

Get Injuries

Tool to get injured or suspended players.

Get Leagues

Tool to retrieve leagues and cups.

Get League Seasons

Tool to get the list of available seasons for all leagues.

Get MMA Categories

Tool to fetch the list of all available MMA categories.

Get MMA Fighters

Tool to fetch MMA fighters data.

Get MMA Fights

Tool to retrieve the list of MMA fights according to given parameters.

Get MMA Fight Results

Tool to retrieve results from one or several MMA fights.

Get MMA Fighter Statistics

Tool to get fighter statistics from MMA fights.

Get NBA game statistics

Tool to get NBA game statistics including player stats for both teams.

Get NFL Standings Conferences

Tool to retrieve the list of available conferences for the NFL to be used in the standings endpoint.

Get Odds

Tool to fetch pre-match odds.

Get Odds Bets

Tool to get all available pre-match bet types.

Get Odds Bookmakers

Tool to list all available pre-match bookmakers.

Get In-Play Odds

Tool to fetch in-play odds for fixtures in progress.

Get Live Odds Bets

Tool to fetch all available bet types for in-play odds.

Get Odds Mapping

Tool to get the list of available fixture IDs for the odds endpoint.

Get Players

Tool to get player statistics.

Get Players Profiles

Tool to get the list of all available players.

Get Players Seasons

Tool to list all available seasons for player statistics.

Get Players Squads

Tool to get player squads.

Get player statistics

Tool to get player statistics for a specific basketball game.

Get Players Teams

Tool to get the list of teams and seasons in which a player played during his career.

Get Players Top Assists

Tool to get the 20 best players (top assists) for a league or cup.

Get Players Top Red Cards

Tool to get the 20 players with the most red cards for a league or cup.

Get Players Top Scorers

Tool to get the 20 best players (top scorers) for a league or cup.

Get Players Top Yellow Cards

Tool to get the 20 players with the most yellow cards for a league or cup.

Get Predictions

Tool to get predictions about a fixture.

Get Formula 1 Driver Rankings

Tool to retrieve Formula 1 driver rankings for a season.

Get Fastest Laps Rankings

Tool to get the ranking of the fastest laps for a Formula 1 race.

Get Race Rankings

Tool to retrieve rankings for a specific Formula 1 race.

Get Formula 1 Team Rankings

Tool to retrieve Formula 1 team rankings for a specific season.

Get Sidelined

Tool to get sidelined information (injuries, suspensions, etc.

Get Standings Divisions

Tool to retrieve the list of available divisions for an NFL competition to be used in the standings endpoint.

Get Standings Groups

Tool to retrieve the list of available groups for a league to be used in the standings endpoint.

Get Standings Stages

Tool to retrieve the list of available stages for a league to be used in the standings endpoint.

Get Teams

Tool to retrieve available teams.

Get Team Seasons

Tool to get the list of seasons available for a team.

Get team statistics

Tool to get detailed statistics of a team for a given league and season.

Get Timezone

Tool to fetch the complete list of available timezones for fixture queries.

Get Transfers

Tool to get all available transfers for players and teams.

Get Trophies

Tool to get trophies for a player or coach.

Get Venues

Tool to retrieve available venues.

FRAMEWORKS

How to build Api sports MCP Agent with another framework

ChatGPT

Use Api sports MCP with ChatGPT

OpenAI Agents SDK

Use Api sports MCP with OpenAI Agents SDK

Claude Agent SDK

Use Api sports MCP with Claude Agent SDK

Claude Code

Use Api sports MCP with Claude Code

Claude Cowork

Use Api sports MCP with Claude Cowork

Codex

Use Api sports MCP with Codex

Cursor

Use Api sports MCP with Cursor

OpenClaw

Use Api sports MCP with OpenClaw

Hermes

Use Api sports MCP with Hermes

CLI

Use Api sports MCP with CLI

Google ADK

Use Api sports MCP with Google ADK

LangChain

Use Api sports MCP with LangChain

Vercel AI SDK

Use Api sports MCP with Vercel AI SDK

Mastra AI

Use Api sports MCP with Mastra AI

LlamaIndex

Use Api sports MCP with LlamaIndex

CrewAI

Use Api sports MCP with CrewAI

OpenCode

Use Api sports MCP with OpenCode

VS Code

Use Api sports MCP with VS Code

MORE TOOLKITS

Explore Other Toolkits

Toolkit marketplace

Excel

Oauth2S2s Oauth2

Microsoft Excel is a robust spreadsheet application for organizing, analyzing, and visualizing data. It's the go-to tool for calculations, reporting, and flexible data management.

21risk

Api Key

21RISK is a web app built for easy checklist, audit, and compliance management. It streamlines risk processes so teams can focus on what matters.

Abstract

Api Key

Abstract provides a suite of APIs for automating data validation and enrichment tasks. It helps developers streamline workflows and ensure data quality with minimal effort.

Addressfinder

Api Key

Addressfinder is a data quality platform for verifying addresses, emails, and phone numbers. It helps you ensure accurate customer and contact data every time.

FAQ

Frequently asked questions

With a standalone Api sports MCP server, the agents and LLMs can only access a fixed set of Api sports tools tied to that server. However, with the Composio Tool Router, agents can dynamically load tools from Api sports and many other apps based on the task at hand, all through a single MCP endpoint.

Yes, you can. Pydantic AI fully supports MCP integration. You get structured tool calling, message history handling, and model orchestration while Tool Router takes care of discovering and serving the right Api sports tools.

Yes, absolutely. You can configure which Api sports scopes and actions are allowed when connecting your account to Composio. You can also bring your own OAuth credentials or API configuration so you keep full control over what the agent can do.

All sensitive data such as tokens, keys, and configuration is fully encrypted at rest and in transit. Composio is SOC 2 Type 2 compliant and follows strict security practices so your Api sports data and credentials are handled as safely as possible.

Start with Api sports.It takes 30 seconds.

Managed auth, hosted MCP servers, and every Api sports tool your agent needs.Free to start.

Start building

Customer stories

Teams ship real agents on Composio

GET STARTED FOR FREE BOOK A DEMO

Karan skipped his own birthday party to fix our critical issue. It was 10pm and he diverted his Waymo to help us instead. This really sets the bar — it shows the commitment you need when users rely on your software.

Harsha Gaddipati

Co-founder, Slashy

A lot of students tell us that the moment their connected tools start talking to each other inside Opennote feels almost magical. The agent just knows them, and it's immensely helped keep new users on the platform.

Abhi Arya

Co-founder, Opennote

We chose Composio over Pipedream because it delivered depth where it mattered — niche tools and tricky edge cases other platforms simply ignored. That gave us confidence to scale without compromising.

Nirman Dave

CEO, Zams

As a solo builder, shipping fast is life or death. The only way I can outcompete incumbents is by outmanoeuvring them. Getting bogged down managing agent auth would have been a death sentence.

Ryan Yu

Founder, Extra Thursday

Before Composio, adding tool integrations was slow and resource-intensive. Each one could take weeks of engineering time, and maintaining them meant constantly keeping up with API changes.

Tomisin Jenrola

Founder & CEO, SwarmZero

With hands-on help from their founder, we integrated Gmail and Google Drive in just 30 minutes. This level of personal support and commitment is exactly what startups should strive for.

Jerome Leclanche

Co-Founder, Ingram Technologies

How to integrate Api sports MCP with Pydantic AI

Connect Api sports without auth hassles

Introduction

Also integrate Api sports with

TL;DR

What is Pydantic AI?

What is the Api sports MCP server, and what's possible with it?

What is the Composio tool router, and how does it fit here?

What is Composio SDK?

How the Composio SDK works

Step-by-step Guide

Prerequisites

Getting API Keys for OpenAI and Composio

Install dependencies

Set up environment variables

Import dependencies

Create a Tool Router Session

Initialize the Pydantic AI Agent

Build the chat interface

Run the application

Complete Code

Conclusion

Supported Tools

How to build Api sports MCP Agent with another framework

ChatGPT

OpenAI Agents SDK

Claude Agent SDK

Claude Code

Claude Cowork

Codex

Cursor

OpenClaw

Hermes

CLI

Google ADK

LangChain

Vercel AI SDK

Mastra AI

LlamaIndex

CrewAI

OpenCode

VS Code

Explore Other Toolkits

Excel

21risk

Abstract

Addressfinder

Frequently asked questions

What are the differences in Tool Router MCP and Api sports MCP?+

Can I use Tool Router MCP with Pydantic AI?+

Can I manage the permissions and scopes for Api sports while using Tool Router?+

How safe is my data with Composio Tool Router?+

Start with Api sports.It takes 30 seconds.

Teams ship real agents on Composio